- +65 8931 8934
- hello@cloudenabled.sg
- India, Singapore
AWS Ai Course | AWS AI Certification
4.2
4.2/5
Price :
-
Category :
Management
Anil Bidari
Chief Consultant
Anil Bidari is a versatile trainer . we offer comprehensive AWS AI Certification, Training, and Courses in Singapore, helping professionals master cloud-based AI solutions. Whether you’re aiming for certification, hands-on training, or a structured course, our expert-led programs provide everything you need.
- Time Duration : 1 Day
- Study Lecture : 9 Lectures
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
OVERVIEW : AWS AI Certification in Singapore
What is AWS AI Certification?
Who Should Get AWS AI Certified?
Key Benefits of AWS AI Certification
What is AWS AI Certification?
AWS AI Certification validates your expertise in building, deploying, and managing AI-powered solutions on AWS. It demonstrates your ability to leverage AWS services like SageMaker, Rekognition, Lex, and more to develop machine learning models.
Who Should Get AWS AI Certified?
- AI & Machine Learning Engineers
- Data Scientists & Analysts
- Cloud Architects & Developers
- IT Professionals looking to upskill in AI
Key Benefits of AWS AI Certification
Recognition as an AWS-certified AI expert
✅ Increased job opportunities & higher salaries
✅ Practical skills in AWS AI services
✅ Industry relevance in AI & cloud computing
AWS AI Training in Singapore – Hands-on Learning
What You Will Learn in Our AWS AI Training?
Our training program provides in-depth knowledge of AWS AI tools and frameworks, including:
- Amazon SageMaker: Train and deploy machine learning models.
- AWS DeepLens: Build deep learning models with computer vision.
- Amazon Rekognition: AI-powered image & video analysis.
- Amazon Lex & Polly: Create conversational AI chatbots.
- AWS AI Ethics & Best Practices: Ensure responsible AI usage.
Who Can Benefit from AWS AI Training?
- IT professionals transitioning into AI roles
- Organizations seeking AI adoption on AWS
- Students & fresh graduates looking for AWS AI expertise
Why Cloud Enabled is the Best Choice for AWS AI Training in Singapore
- AWS-Certified Instructors with real-world AI experience
- Hands-on Labs & Case Studies for practical learning
- Updated Curriculum aligned with AWS certification standards
AWS AI Course in Singapore – Complete Curriculum
Registration and Welcome Breakfast
Introduction to Generative AI
- Definition and significance of Generative AI.
- Overview of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other generative models.
- Applications and potential of Generative AI.
Introduction to AWS Cloud
- Overview of Amazon Web Services (AWS).
- Highlight of AWS's AI & Machine Learning services.
Hands-on Lab 1: Setting up AWS for Generative AI Workloads
- Creating an AWS account and setting up IAM roles.
- Introduction to Amazon SageMaker and its relevance to AI/ML.
- Initial configuration for generative AI workloads.
Morning Break
Dive into AWS Generative AI Tools
- DeepComposer: Generative AI for music.
- DeepRacer: Reinforcement learning models.
- Overview of SageMaker's capabilities for custom generative models.
Hands-on Lab 2: Exploring Deep Composer
- Setting up DeepComposer.
- Training a generative model for music generation.
- Evaluating and fine-tuning the model's outputs.
Lunch Break
Advanced Generative AI with SageMaker
- Benefits of using SageMaker for generative AI tasks.
- Integrating other AWS services (like S3) with SageMaker for data management.
- Custom generative model training and deployment.
Hands-on Lab 3: Training a GAN with SageMaker
- Setting up the SageMaker environment.
- Preparing datasets and training a GAN model.
- Visualizing and interpreting generated samples.
Afternoon Break
Challenges and Solutions in Generative AI on AWS
- Addressing common issues: mode collapse, training instability, etc.
- AWS tools and resources for troubleshooting.
- Best practices for model optimization and performance.
Hands-on Lab 4: Fine-tuning and Deployment
- Advanced techniques for improving generative model outputs.
- Deploying the trained model for real-time generation tasks.
- Scaling and managing generative AI solutions on AWS.
Q&A, Feedback, and Closing Remarks
End of Training
This course aims to provide a comprehensive insight into Generative AI on AWS. Ensure to adjust pacing based on the participants' prior knowledge and always incorporate feedback after each hands-on lab to gauge understanding and make necessary adjustments.
- Overview of AI/ML in cloud computing
- AWS AI & ML services overview
- Amazon SageMaker for model training & deployment
- Building AI-powered applications
- AI automation with AWS Lambda
- Natural language processing with Amazon Comprehend
- Responsible AI development
- AWS AI security best practices
FAQs on AWS AI Certification, Training & Courses
Registration and Welcome Breakfast
Introduction to Generative AI
- Definition and significance of Generative AI.
- Overview of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other generative models.
- Applications and potential of Generative AI.
Introduction to AWS Cloud
- Overview of Amazon Web Services (AWS).
- Highlight of AWS's AI & Machine Learning services.
Hands-on Lab 1: Setting up AWS for Generative AI Workloads
- Creating an AWS account and setting up IAM roles.
- Introduction to Amazon SageMaker and its relevance to AI/ML.
- Initial configuration for generative AI workloads.
Morning Break
Dive into AWS Generative AI Tools
- DeepComposer: Generative AI for music.
- DeepRacer: Reinforcement learning models.
- Overview of SageMaker's capabilities for custom generative models.
Hands-on Lab 2: Exploring Deep Composer
- Setting up DeepComposer.
- Training a generative model for music generation.
- Evaluating and fine-tuning the model's outputs.
Lunch Break
Advanced Generative AI with SageMaker
- Benefits of using SageMaker for generative AI tasks.
- Integrating other AWS services (like S3) with SageMaker for data management.
- Custom generative model training and deployment.
Hands-on Lab 3: Training a GAN with SageMaker
- Setting up the SageMaker environment.
- Preparing datasets and training a GAN model.
- Visualizing and interpreting generated samples.
Afternoon Break
Challenges and Solutions in Generative AI on AWS
- Addressing common issues: mode collapse, training instability, etc.
- AWS tools and resources for troubleshooting.
- Best practices for model optimization and performance.
Hands-on Lab 4: Fine-tuning and Deployment
- Advanced techniques for improving generative model outputs.
- Deploying the trained model for real-time generation tasks.
- Scaling and managing generative AI solutions on AWS.
Q&A, Feedback, and Closing Remarks
End of Training
This course aims to provide a comprehensive insight into Generative AI on AWS. Ensure to adjust pacing based on the participants' prior knowledge and always incorporate feedback after each hands-on lab to gauge understanding and make necessary adjustments.
AWS AI Certification is an official recognition from AWS, whereas Training provides hands-on knowledge. The Course offers structured learning covering certification topics, practical training, and AI applications.
Our training program is 1 day with 9 lectures (comprehensive training).
Yes, but training improves your chances of passing the certification exam.
Yes! We offer custom corporate training programs for businesses.
Contact us for the latest pricing and promotional offers!
Let's Enroll Our Course !!
Join the best AWS AI Certification & Training program in Singapore. Whether you’re an IT professional, a business owner, or a student, our expert-led course will help you build AI solutions on AWS with confidence.
